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The global food supply chain (starting at farms and ending with consumers)has been seriously disrupted by many outlier events such as trade wars, theChina demand shock, natural disasters, and pandemics. Outlier events createuncertainty along the entire supply chain in addition to intervening policyresponses to mitigate their adverse effects. Artificial Intelligence (AI)methods (i.e. machine/reinforcement/deep learning) provide an opportunity tobetter understand outcomes during outlier events by identifying regular,irregular and contextual components. Employing AI can provide guidance todecision making suppliers, farmers, processors, wholesalers, and retailersalong the supply chain, and policy makers to facilitate welfare-improvingoutcomes. This panel discusses these issues.

Panel: Economic Policy and Governance during Pandemics using AI